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20192023
most citedImplicit Shape and Appearance Priors for Few-Shot Full Head Reconstruction

4 citations · 4 across the 4 of their papers we have counts for

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cs.CV2023★ 4 cited

Implicit Shape and Appearance Priors for Few-Shot Full Head Reconstruction

Pol Caselles, Eduard Ramon, Jaime Garcia +2

Recent advancements in learning techniques that employ coordinate-based neural representations have yielded remarkable results in multi-view 3D reconstruction tasks. However, these…

cs.CV2023

InstantAvatar: Efficient 3D Head Reconstruction via Surface Rendering

Antonio Canela, Pol Caselles, Ibrar Malik +5

Recent advances in full-head reconstruction have been obtained by optimizing a neural field through differentiable surface or volume rendering to represent a single scene. While th…

cs.CV2022

Photorealistic Facial Wrinkles Removal

Marcelo Sanchez, Gil Triginer, Coloma Ballester +2

Editing and retouching facial attributes is a complex task that usually requires human artists to obtain photo-realistic results. Its applications are numerous and can be found in…

cs.CV2022

SIRA: Relightable Avatars from a Single Image

Pol Caselles, Eduard Ramon, Jaime Garcia +3

Recovering the geometry of a human head from a single image, while factorizing the materials and illumination is a severely ill-posed problem that requires prior information to be…

cs.CV2021

H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction

Eduard Ramon, Gil Triginer, Janna Escur +4

Recent learning approaches that implicitly represent surface geometry using coordinate-based neural representations have shown impressive results in the problem of multi-view 3D re…

cs.CV2019

Hyperparameter-Free Losses for Model-Based Monocular Reconstruction

Eduard Ramon, Guillermo Ruiz, Thomas Batard +1

This work proposes novel hyperparameter-free losses for single view 3D reconstruction with morphable models (3DMM). We dispense with the hyperparameters used in other works by expl…